šŸš€ Uber steps into the AI game—with its gig workforce

Uber isn’t just about rides and food anymore. Building on its in-house annotation tech, Uber AI (Scaled Solutions) now offers data labeling services—tagging images, text, audio & video—for clients ranging from self-driving firm Aurora to Niantic. They’re tapping gig workers across the U.S., Canada, India, and more

This move comes hot on the heels of Meta’s $15 B investment in Scale AI, which shook the sector—driving rivals like OpenAI and Google to look for neutral vendors

Uber is seizing that moment of FUD, positioning itself as a fresh, reliable option.

šŸ” Why this matters:

Data = gold: High-quality annotation fuels LLMs, vision AI, and audio models.

Meta’s Scale AI play: Pushed clients to diversify—Uber wants in on that shift .

Gig economy 2.0: Beyond rides—drivers and coders can now earn via flexible AI tasks

šŸ’” Crypto angle:

Token projects relying on AI? They need clean data—Uber wants to be your labeller.

No wild bullish hype, no rug‑pull. Just pragmatic, infrastructure-level move.

Expect competition: Scale AI rivals now sniffing business with their own offerings

TL;DR: Uber launched its data labeling platform to fuel AI models—with a global gig force—just as Meta’s mega-deal shook confidence in old vendors. If you care about the AI infrastructure underpinning your next crypto token or smart contract, this is a bullish signal for cleaner, cheaper data.

šŸ‘ Like if you think Uber’s move could reshape AI tooling. Drop your thoughts—FUD or future?

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